{"id":"0-5-physical-intelligence--pi-website","name":"π0.5 (Physical Intelligence)","url":"https://www.pi.website/blog/pi05","page":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/0-5-physical-intelligence--pi-website","family":"memory","section":"Vertical / domain-specific AI memory","sections":["Vertical / domain-specific AI memory"],"tier":1,"last_verified_at":"2026-10-29","lifecycle":{"status":"active","severity":0,"note":null},"taxonomy":{"storage":[{"value":"vector","primary":true,"reason":null}],"retrieval":[{"value":"attention","primary":true,"reason":null},{"value":"similarity","primary":false,"reason":null}],"persistence":[{"value":"long-term","primary":true,"reason":null}],"update":[{"value":"append-only","primary":true,"reason":null},{"value":"consolidation","primary":false,"reason":null}],"unit":[{"value":"episode","primary":true,"reason":null},{"value":"trajectory","primary":false,"reason":null}],"governance":[{"value":"opaque","primary":true,"reason":null}],"conflict":[{"value":"append","primary":true,"reason":"append (no resolution)"}]},"cells":{"type":{"value":"Multi-Scale Embodied Memory (short + long episodic)","citation":"https://www.pi.website/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"desc":{"value":"Extends π0 with MEM layer giving the policy short-term (within-task) + long-term (cross-task, >10-min horizon) memory. Co-trained on robot teleoperation + human video + text. Hierarchical inference: VLA predicts subtasks as text tokens, then executes as action chunks.","citation":"https://www.pi.website/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"claims":{"value":"Open-world generalisation to unseen household environments. Cleans an entirely new kitchen with no environment-specific training.","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"modalities":{"value":"vision + sensor + text","citation":"https://www.pi.website/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"created":{"value":"2024 (Physical Intelligence formally founded 2024; informal work began Q3 2023; co-founded by Chelsea Finn, Sergey Levine, Karol Hausman, Brian Ichter, Lachy Groom, Adnan Esmail and Quan Vuong)","citation":"https://en.wikipedia.org/wiki/Physical_Intelligence_Inc.","status":"real-data","tier":"T2","last_verified_at":"2026-10-23","source_class":"third-party"},"latest-release":{"value":"not applicable — not OSS","citation":null,"status":"not-applicable","tier":"T3","last_verified_at":"2026-05-12"},"license":{"value":"Apache-2.0 (openpi repo; repo also ships a LICENSE_GEMMA.txt for Gemma-derived terms)","citation":"https://github.com/Physical-Intelligence/openpi","status":"real-data","tier":"T1","source_class":"repo"},"gh":{"value":"Physical-Intelligence/openpi — ~13.3k stars, last commit not confirmed (π0.5 base, DROID and LIBERO checkpoints released)","citation":"https://github.com/Physical-Intelligence/openpi","status":"real-data","tier":"T1","last_verified_at":"2026-10-23","source_class":"repo"},"mindshare":{"value":"searched not found","citation":"https://www.physicalintelligence.company/","status":"depth-floor-reached","tier":"T2","last_verified_at":"2026-05-12","source_class":"vendor"},"citations":{"value":"not applicable — not academic","citation":null,"status":"not-applicable","tier":"T3","last_verified_at":"2026-05-12"},"funding":{"value":"total ~$1.07B (Series B $600M at $5.6B led by CapitalG, 2025-11); ~$1B at ~$11B reported in talks Mar 2026, not confirmed closed","citation":"https://www.implicator.ai/physical-intelligence-nears-1-billion-round-doubling-valuation-in-four-months.md","status":"real-data","tier":"T2","last_verified_at":"2026-10-22","source_class":"third-party"},"customers":{"value":"51-200 ppl","citation":"https://news.crunchbase.com/ai/robot-brain-startup-unicorn-physical-intelligence-bezos/","status":"real-data","tier":"T2","source_class":"third-party"},"pricing":{"value":"searched not found","citation":"https://www.physicalintelligence.company/","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"compliance":{"value":"searched not found","citation":"https://www.physicalintelligence.company/","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"data-handling":{"value":"Trained on Open X-Embodiment + proprietary in-house datasets; open-source weights available","citation":"https://github.com/Physical-Intelligence/openpi","status":"real-data","tier":"T1","source_class":"repo"},"deployment":{"value":"Cloud inference + on-robot deployment (websocket streaming)","citation":"https://github.com/Physical-Intelligence/openpi","status":"real-data","tier":"T1","source_class":"repo"},"hq":{"value":"US (San Francisco)","citation":"https://www.physicalintelligence.company/","status":"real-data","tier":"T2","source_class":"vendor"},"founders":{"value":"Physical Intelligence; founders Sergey Levine (UC Berkeley robotics professor), Karol Hausman, Chelsea Finn, Brian Ichter, Lachy Groom, Adnan Esmail, Quan Vuong","citation":"https://en.wikipedia.org/wiki/Physical_Intelligence_Inc.","status":"real-data","tier":"T2","source_class":"third-party"},"volume":{"value":"no scale claim","citation":"https://www.pi.website/download/pi05.pdf","status":"real-data","tier":"T2","source_class":"vendor"},"perf":{"value":"π0.5 (Physical Intelligence): open-world generalisation results — clean unseen kitchens (vendor paper)","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"repro":{"value":"not applicable — not a research paper","citation":null,"status":"not-applicable","tier":"T3"},"code-release":{"value":"Code public (openpi, Apache-2.0) + weights public (π0.5 base, DROID and LIBERO checkpoints)","citation":"https://github.com/Physical-Intelligence/openpi","status":"real-data","tier":"T1","source_class":"repo"},"api-surface":{"value":"searched not found","citation":"https://www.google.com/search?q=%CF%800.5%20%28Physical%20Intelligence%29%20documentation%20API","status":"depth-floor-reached","tier":"T2","source_class":"third-party"},"latency":{"value":"searched not found","citation":"https://www.google.com/search?q=%CF%800.5%20%28Physical%20Intelligence%29%20documentation%20API","status":"depth-floor-reached","tier":"T2","source_class":"third-party"},"throughput":{"value":"searched not found","citation":"https://www.google.com/search?q=%CF%800.5%20%28Physical%20Intelligence%29%20documentation%20API","status":"depth-floor-reached","tier":"T2","source_class":"third-party"},"backend-storage":{"value":"searched not found","citation":"https://www.google.com/search?q=%CF%800.5%20%28Physical%20Intelligence%29%20documentation%20API","status":"depth-floor-reached","tier":"T2","source_class":"third-party"},"multi-tenancy":{"value":"searched not found","citation":"https://www.google.com/search?q=%CF%800.5%20%28Physical%20Intelligence%29%20documentation%20API","status":"depth-floor-reached","tier":"T2","source_class":"third-party"},"encryption":{"value":"searched not found","citation":"https://www.google.com/search?q=%CF%800.5%20%28Physical%20Intelligence%29%20documentation%20API","status":"depth-floor-reached","tier":"T2","source_class":"third-party"},"sso-rbac":{"value":"searched not found","citation":"https://www.google.com/search?q=%CF%800.5%20%28Physical%20Intelligence%29%20documentation%20API","status":"depth-floor-reached","tier":"T2","source_class":"third-party"},"embedding-model":{"value":"searched not found","citation":"https://www.google.com/search?q=%CF%800.5%20%28Physical%20Intelligence%29%20documentation%20API","status":"depth-floor-reached","tier":"T2","source_class":"third-party"},"consistency":{"value":"not applicable — embodied policy, not a database","citation":"https://www.physicalintelligence.company/blog/pi05","status":"not-applicable","tier":"T2","source_class":"vendor"},"versioning":{"value":"model-version semantics (policy checkpoints)","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"tombstoning":{"value":"not applicable — embodied policy, not a database","citation":"https://www.physicalintelligence.company/blog/pi05","status":"not-applicable","tier":"T2","source_class":"vendor"},"schema-evolution":{"value":"not applicable — embedded policy weights, no schema","citation":"https://www.physicalintelligence.company/blog/pi05","status":"not-applicable","tier":"T2","source_class":"vendor"},"namespace":{"value":"robot-per-instance (per-robot memory)","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"contradiction":{"value":"always append (no resolution)","citation":"https://www.pi.website/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"forgetting":{"value":"episode-based memory; long-term memory module retains landmarks; episodic memory pruned per task","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"mcp-support":{"value":"no MCP support advertised — vertical product, no MCP server / client integration documented","citation":"https://www.physicalintelligence.company/blog/pi05","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"a2a-support":{"value":"no A2A protocol support advertised — vertical product, no A2A integration documented","citation":"https://www.physicalintelligence.company/blog/pi05","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"otel":{"value":"no OpenTelemetry integration advertised — vendor logs/observability not publicly documented","citation":"https://www.physicalintelligence.company/blog/pi05","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"webhooks":{"value":"no public webhook API advertised — vendor product, no public docs for webhook integration","citation":"https://www.physicalintelligence.company/blog/pi05","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"import-export":{"value":"no public import/export API advertised — vendor product, data movement via enterprise integration only","citation":"https://www.physicalintelligence.company/blog/pi05","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"integration-count":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"orchestration":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"programmatic-control":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"vendor-benchmarks":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3","last_verified_at":"2026-05-12"},"pricing-specifics":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"agent-abstraction":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"memory-primitives":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"llm-lock":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"runtimes":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"session-handling":{"value":"not applicable — wrong section","citation":null,"status":"not-applicable","tier":"T3"},"validated-verticals":{"value":"robotics (humanoid, manipulation), autonomous-driving, embodied AI research","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"time-to-running":{"value":"weeks-to-months (custom robot/vehicle integration) or research-only code release","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"anti-fit":{"value":"not for non-embodied / non-physical use cases","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"optimised-for":{"value":"real-time perception + spatial reasoning + multi-modal sensor fusion","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"adjacent-infrastructure":{"value":"requires robot / vehicle hardware + sensor stack","citation":"https://www.physicalintelligence.company/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"pros":{"value":"Generalist robot policy with strong simulation-to-real transfer; memory is implicit in the policy network rather than explicit external store.","citation":"https://www.pi.website/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"cons":{"value":"Implicit memory is harder to inspect or edit; embodied agent only — not generalizable to LLM agents.","citation":"https://www.pi.website/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"links":{"value":"π0.5 blog paper","citation":"https://www.pi.website/blog/pi05","status":"real-data","tier":"T2","source_class":"vendor"},"obs-langsmith":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"obs-opentelemetry":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"obs-datadog":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"obs-helicone":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"obs-weave":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"obs-langfuse":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"obs-arize":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"obs-custom":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"cost-token-budget":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"cost-prompt-caching":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"cost-semantic-caching":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"cost-batching":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"cost-model-routing":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"cost-streaming-only":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"cost-observability-cost-attribution":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"eval-langsmith-evals":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"eval-braintrust":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"eval-weights-and-biases-agent":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"eval-helicone-evals":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"eval-custom-test-harness":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"eval-human-loop":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"eval-production-traffic-replay":{"value":"","citation":null,"status":"no-data","tier":"T3","last_verified_at":"2026-05-14"},"commit-trajectory":{"value":"not applicable — no GitHub repo","citation":null,"status":"not-applicable","tier":"T3","last_verified_at":"2026-05-14"},"citation-trajectory":{"value":"not applicable — non-paper row","citation":null,"status":"not-applicable","tier":"T3","last_verified_at":"2026-05-14"},"download-trajectory":{"value":"not applicable — not published as a package","citation":null,"status":"not-applicable","tier":"T3","last_verified_at":"2026-05-14"},"cost-input-usd-per-mtok":{"value":"searched not found","citation":"https://www.physicalintelligence.company/","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"cost-output-usd-per-mtok":{"value":"searched not found","citation":"https://www.physicalintelligence.company/","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"cost-tier":{"value":"searched not found","citation":"https://www.physicalintelligence.company/","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"cost-pricing-model":{"value":"searched not found","citation":"https://www.physicalintelligence.company/","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"cost-last-verified":{"value":"searched not found","citation":"https://www.physicalintelligence.company/","status":"depth-floor-reached","tier":"T2","source_class":"vendor"},"capability-composite-score":{"value":"58","citation":null,"status":"estimate","tier":"T3"},"capability-band":{"value":"competent","citation":null,"status":"estimate","tier":"T3"},"capability-benchmark-sources":{"value":"open-world manipulation generalization demo — unseen kitchens (2025), pi0 robot teleoperation eval (2024)","citation":null,"status":"estimate","tier":"T3"},"capability-last-verified":{"value":"2026-06-29","citation":null,"status":"estimate","tier":"T3"},"use-case-tags":{"value":"scoped-agentic, latency-sensitive, long-running-session","citation":null,"status":"estimate","tier":"T3"},"use-case-anti-tags":{"value":"code-generation-focused, memory-augmented-chat, analytical-summarization, multi-agent-coordination","citation":null,"status":"estimate","tier":"T3"},"adoption-accelerator":{"value":"","citation":null,"status":"no-data","tier":"T3"},"architecture-deployment-locus":{"value":"local","citation":"https://github.com/Physical-Intelligence/openpi","status":"real-data","tier":"T1","source_class":"repo"},"licensing-bucket":{"value":"open-source","citation":"https://github.com/Physical-Intelligence/openpi","status":"real-data","tier":"T1","source_class":"repo"},"positioning-platform-vs-product":{"value":"platform","citation":"https://github.com/Physical-Intelligence/openpi","status":"real-data","tier":"T1","source_class":"repo"},"taxonomy-three-layer-rollup":{"value":"agent-infra","citation":"https://github.com/MrPeppersDev/agent-infrastructure-landscape/blob/main/docs/schema/section-to-three-layer-rollup.json","status":"real-data","tier":"T1","source_class":"repo"},"developer-activity-opendigger":{"value":"{\"activity\":28.94,\"as_of\":\"2026-09\",\"openrank_12mo\":11.25,\"openrank_current\":2.92,\"participants\":14}","citation":"https://oss.open-digger.cn/github/Physical-Intelligence/openpi/openrank.json","status":"real-data","tier":"T2","last_verified_at":"2026-10-28","source_class":"third-party"},"freshness-date":{"value":"2026-10-29","citation":"https://mrpeppersdev.github.io/agent-infrastructure-landscape/systems/0-5-physical-intelligence--pi-website","status":"real-data","tier":"T2","source_class":"catalog"},"compliance-certifications":{"value":"","citation":null,"status":"no-data","tier":"T3"},"sdk-languages":{"value":"","citation":null,"status":"no-data","tier":"T3"},"protocol-support":{"value":"","citation":null,"status":"no-data","tier":"T3"},"maturity":{"value":"","citation":null,"status":"no-data","tier":"T3"}},"corroboration":{"cited_cells":33,"third_party_cells":5},"edges":{"outgoing":[],"incoming":[]},"history":[{"date":"2026-10-23","commit":"5fd0959f49","pr":223,"kind":"update","changes":[{"field":"license","label":"License","from":"Apache-2.0 (openpi code; model weights also under Gemma terms, LICENSE_GEMMA.txt)","to":"Apache-2.0 (openpi repo; repo also ships a LICENSE_GEMMA.txt for Gemma-derived terms)","source":"https://github.com/Physical-Intelligence/openpi"}]},{"date":"2026-10-22","commit":"89dcc719ed","pr":195,"kind":"update","changes":[{"field":"license","label":"License","from":"not applicable — not OSS","to":"Apache-2.0 (openpi code; model weights also under Gemma terms, LICENSE_GEMMA.txt)","source":"https://github.com/Physical-Intelligence/openpi"},{"field":"funding","label":"Funding / ownership","from":"$400M total $2.0B val Series A · 2024-11","to":"total ~$1.07B (Series B $600M at $5.6B led by CapitalG, 2025-11); ~$1B at ~$11B reported in talks Mar 2026, not confirmed closed","source":"https://www.implicator.ai/physical-intelligence-nears-1-billion-round-doubling-valuation-in-four-months.md"}]}],"license":"CC-BY-4.0","source":"https://github.com/MrPeppersDev/agent-infrastructure-landscape/blob/main/data/landscape.json"}